Data Scientist 4- Interactive Discovery

Netflix•,

8d•$280,000 - $421,000

About The Position

The Interactive Discovery team at Netflix is responsible for how members explicitly indicate their preferences, complementing the recommendation system. This includes the Search platform, which integrates with a member's discovery process through intelligent querying, and Member Spaces & Inputs, which supports the member's journey from planning to watch content, including features like Continue Watching, My List, and Remind Me. The Data Science & Engineering team within Interactive Discovery develops the data, analytics, and experimentation strategies for these areas, partnering with Product, Engineering, Algos, and Consumer Insights to enhance product features and ensure members spend less time searching and more time watching content they love. This role specifically focuses on leading the partnership between Interactive Discovery DSE and the Member Spaces & Inputs product team, designing rigorous tests, developing measurement frameworks, and ensuring confident decision-making.

Requirements

At least 3 years of relevant experience, with demonstrated strength in experimentation and causal inference
Hands-on experience designing and analyzing experiments, with comfort applying causal inference and measurement techniques beyond vanilla A/B tests
Exceptional communication skills with technical and non-technical audiences, able to influence your partners using clear actionable insights and recommendations
Strong thought partnership, able to own direct relationships with stakeholders and build credibility through clarity and judgment
Ability to translate ambiguous asks into clear data science solutions to influence the business
Strong SQL and Python skills, including building dashboards and automations that improve team efficiency and surface insights
Good judgment to balance between addressing stakeholder or test-specific needs and investing in scalable solutions to serve general use cases
Ability to work independently, drive your own projects end-to-end, and thrive in ambiguous situations

Nice To Haves

Experience with algorithms as a product
PhD/Masters degree in Statistics, Economics, Computer Science, Mathematics, or a related quantitative field
Familiarity with Gen AI productivity tools

Responsibilities

Design and run rigorous A/B tests evaluating Member Spaces & Inputs feature interventions’ impact on user experience
Exercise causal inference techniques when a clean test isn’t feasible, so the team can still make confident calls in situations where standard experimentation frameworks don’t apply
Help define and evolve Interactive Discovery’s experimentation standards and measurement framework, developing a shared playbook that lets the broader team run tests with high rigor
Own the code, data pipelines, and dataset enrichment your analyses depend on, so results are reliable and stakeholders can act on them with confidence
Translate complex statistical findings into clear, actionable recommendations to influence product decisions and future strategy
Set the tone for the day-to-day partnership between DSE and Member Spaces & Inputs product team, translating open-ended business needs into well-scoped data projects, sharing a data-driven opinions on roadmap and prioritization
Build data solutions that could scale as Interactive Discovery innovates and expands into new business verticals (e.g. Live, Games)